Construction of College Students’ Music Interest Platform Based on Internet+

In the context of the gradual improvement of the degree of personalized development, College Students’ interest in music shows a diversified trend, which makes the construction of relevant music platforms fully consider the actual needs of individual users and recommend resources corresponding to their interests. This paper puts forward the research on the construction of College Students’ music interest platform based on Internet [Formula: see text]. On the premise of analyzing the value proposition of the cultural industry platform model and the emphasis on customer goals under the background of “Internet [Formula: see text]”, this paper designs a platform structure including resource management module, College Students’ user management module, resource recommendation module and resource startup module. The big data technology under the background of “Internet [Formula: see text]” is used to analyze the MIDI audio characteristics and user behavior characteristics of resources. The binary community is used to establish the matching relationship between the two, determine the recommended resources, and introduce the heat parameter to avoid the cold start problem. The test results show that the processing efficiency and response time of the design platform for user behavior and user requests can meet the needs of practical applications, and has high stability. The collection map, Download map and share map of the recommended results of the platform are the best outputs in the test stage.